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October 3, 2025Clinical ChemistryOpen Access

B-225 Translating GWAS into Clinical Practice: Real-World Utility of a Polygenic Risk Score for Diabetes Risk Stratification

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Authors

IJInyong Jeong

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Overview

Observational analysis shows a polygenic risk score predicts diabetes risk in healthy individuals, indicating its real-world application.

Key Points

  • The very high risk group had a 4.5-fold increased risk of developing diabetes compared to other groups, highlighting the predictive power of the polygenic risk score.
  • Fasting blood glucose and glycated hemoglobin levels were significantly higher in the very high risk group after 3 years, showing the importance of early identification.
  • Smoking significantly modified genetic risk, as smokers in the high risk group displayed a 25% greater likelihood of developing diabetes, indicating the need for targeted interventions.
  • The study involved genetic testing of 302 participants using a polygenic risk score algorithm based on a dataset of 70,000 Koreans, revealing its utility in real-world settings.

Cite This Study

Inyong Jeong (2025) studied this question.

synapsesocial.com/papers/68e040e9a99c246f578b3039https://doi.org/10.1093/clinchem/hvaf086.613
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  5. 5Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries2026 · 4 citations